REPOGEO REPORT · LITE
JadyXuan/NTTS
Default branch main · commit e54b3e19 · scanned 6/10/2026, 8:38:02 PM
GitHub: 643 stars · 23 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface JadyXuan/NTTS, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README H1 and opening paragraph to clarify purpose
Why:
CURRENT# There is No Time to Sleep ### 没时间睡觉了 还在为ctrl+C时Traceback停在time.sleep()上而感到尴尬吗?
COPY-PASTE FIX# NTTS: No Time To Sleep - Customize Python KeyboardInterrupt Tracebacks Are you tired of KeyboardInterrupt tracebacks stopping at `time.sleep()`? NTTS is a Python package that allows you to modify the last line of KeyboardInterrupt tracebacks, making your code appear to be running a neural network model or solving 'deterministic delay' issues. ### 没时间睡觉了
- hightopics#2Add specific topics to improve categorization
Why:
CURRENT(none)
COPY-PASTE FIXpython, traceback, keyboardinterrupt, debugging, utility, developer-tools, productivity
- mediumabout#3Update repository description for clarity
Why:
CURRENTNO TIME TO SLEEP
COPY-PASTE FIXCustomize Python KeyboardInterrupt tracebacks to remove time.sleep() or replace lines for cleaner output.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- sys.excepthook · recommended 2×
- signal.pause() · recommended 1×
- select.select() · recommended 1×
- asyncio.sleep() · recommended 1×
- asyncio · recommended 1×
- CATEGORY QUERYHow to remove time.sleep() from Python KeyboardInterrupt tracebacks for cleaner output?you: not recommendedAI recommended (in order):
- signal.pause()
- select.select()
- asyncio.sleep()
- asyncio
- sys.excepthook
AI recommended 5 alternatives but never named JadyXuan/NTTS. This is the gap to close.
Show full AI answer
- CATEGORY QUERYUtility to modify or customize Python KeyboardInterrupt traceback messages for specific lines?you: not recommendedAI recommended (in order):
- logging
- sys.excepthook
- traceback
- IPython
- Jupyter
AI recommended 5 alternatives but never named JadyXuan/NTTS. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of JadyXuan/NTTS?passAI named JadyXuan/NTTS explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts JadyXuan/NTTS in production, what risks or prerequisites should they evaluate first?passAI named JadyXuan/NTTS explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo JadyXuan/NTTS solve, and who is the primary audience?passAI named JadyXuan/NTTS explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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JadyXuan/NTTS — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite